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Subtype Classification of Childhood Leukemia and Diagnosis of Ovarian Cancer-in Silico View

By

Dr Li Jinyan,
Principal Investigator in the Knowledge Discovery Department

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Abstract:
I will talk about two data sets: one is about childhood leukemia; the other is about ovarian cancer. The first one is gene expression profiling data for subtype classification, and the latter is proteomic-profiling data for diagnosis.
I will also talk about how our rule-based computational algorithms are used for data analysis on these two data sets.

Speaker
Mr. Jinyan Li received his Bachelor degree of Science from National University of Defense Technology, China in 1991 and his PhD degree (in computer science) from the University of Melbourne in March of 2001.
He moved to Singapore to start his bioinformatics research at KRDL in 2001. Currently, he is a principal investigator in the Knowledge Discovery department.
He has publications in Machine Learning, Artificial Intelligence, Bioinformatics, Cancer Cell, and other prestigious journals, and also has publications in KDD, ICML so on top-ranked CS conferences.
Recently, he and his colleagues won the Gold medal from this year's Asia Innovation Award by beating other 141 competitors.

 

 
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